Check computer science papers: citations, claims and retractions

Predictors of NFT Prices: An Automated Machine Learning Approach

Alon, I., Bretas, V. P. G., & Katrih, V. (2023) · Journal of Global Information Management

Blockchain Technology Applications and SecurityArt History and Market Analysis

Cited by 20

Focusing on the hybrid quantum computing - Tabu search algorithm: new results on the Asymmetric Salesman Problem

Osaba, E., Villar-Rodriguez, E., Oregi, I., & Moreno-Fernandez-de-Leceta, A. (2021) · Proceedings of the Genetic and Evolutionary Computation Conference Companion

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 20

Practical scrubbing: Getting to the bad sector at the right time

Amvrosiadis, G., Oprea, A., & Schroeder, B. (2012) · IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012)

Advanced Data Storage TechnologiesSoftware System Performance and Reliability

Cited by 20

A Bias-Reducing Loss Function for CT Image Denoising

Nagare, M., Melnyk, R., Rahman, O., Sauer, K. D., & Bouman, C. A. (2021) · ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Image and Signal Denoising MethodsImage Enhancement Techniques

Cited by 20

Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents

Wu, Y., Zhang, L., Zhou, Y., Wang, M., Peng, B., Li, S., Fan, X., & Zhao, Z. (2026) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 20

Let's Talk About X: Combining Image Recognition and Eye Gaze to Support Conversation for People with ALS

Kane, S. K., & Morris, M. R. (2017) · Proceedings of the 2017 Conference on Designing Interactive Systems

Gaze Tracking and Assistive TechnologyAssistive Technology in Communication and Mobility

Cited by 20

A GPT-Based Code Review System With Accurate Feedback for Programming Education

Lee, D.-K., & Joe, I. (2025) · IEEE Access

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 20

Meta-in-context learning in large language models

Coda-Forno, J., Binz, M., Akata, Z., Botvinick, M., Wang, J., & Schulz, E. (2023) · Advances in Neural Information Processing Systems 36

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 20

Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening

Cheng, L., & Chouldechova, A. (2022) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 20

A Hybrid Deep Learning Model for Detection and Mitigation of DDoS Attacks in VANETs

Jayakrishna, N., & Prasanth, N. N. (2025) · Scientific Reports

Network Security and Intrusion DetectionVehicular Ad Hoc Networks (VANETs)

Cited by 20

A Tale of Tails: Model Collapse as a Change of Scaling Laws

Dohmatob, E., Feng, Y., Yang, P., Charton, F., & Kempe, J. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 20

Pretrained AI Models: Performativity, Mobility, and Change

Varshney, L. R., Keskar, N. S., & Socher, R. (2019) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 20

Air/time Travel: Rethinking Appropriation in Global HCI and Futures of Electronic Exchange

Mwesigwa, D., & Csíkszentmihályi, C. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

ICT in Developing CommunitiesInformation Systems Theories and Implementation

Cited by 20

TabShots: client-side detection of tabnabbing attacks

De Ryck, P., Nikiforakis, N., Desmet, L., & Joosen, W. (2013) · Proceedings of the 8th ACM SIGSAC symposium on Information, computer and communications security

Spam and Phishing DetectionWeb Application Security Vulnerabilities

Cited by 20

Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes

Ober, S. W., & Aitchison, L. (2020) · arXiv

Gaussian Processes and Bayesian InferenceAdversarial Robustness in Machine Learning

Cited by 20

A Knowledge Management Framework in Software Requirements Engineering Based on the SECI Model

Chikh, A. (2011) · Journal of Software Engineering and Applications

Software Engineering Techniques and PracticesAdvanced Software Engineering Methodologies

Cited by 20

Advanced Architectures Integrated with Agentic AI for Next-Generation Wireless Networks

Dev, K., Khowaja, S. A., Singh, K., Zeydan, E., & Debbah, M. (2025) · arXiv

Software-Defined Networks and 5GAdvanced Data and IoT Technologies

Cited by 20

Probabilistic inference of Bayesian neural networks with generalized expectation propagation

Zhao, J., Liu, X., He, S., & Sun, S. (2020) · Neurocomputing

Gaussian Processes and Bayesian InferenceAdversarial Robustness in Machine Learning

Cited by 20

Real-time task recognition based on knowledge workers' computer activities

Koldijk, S., van Staalduinen, M., Neerincx, M., & Kraaij, W. (2012) · Proceedings of the 30th European Conference on Cognitive Ergonomics

Context-Aware Activity Recognition SystemsPersonal Information Management and User Behavior

Cited by 20

General tensor network decoding of 2D Pauli codes

Chubb, C. T. (2021) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 20

Execution-Based Evaluation for Open-Domain Code Generation

Wang, Z., Zhou, S., Fried, D., & Neubig, G. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 20

TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding

Ren, S., Chen, S., Li, S., Sun, X., & Hou, L. (2023) · arXiv

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 20

Adapting and personalizing the communication in a synchronous communication tool

Gogoulou, A., Gouli, E., & Grigoriadou, M. (2008) · Journal of Computer Assisted Learning

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 20

MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values

do Santos, C. F. G., Colombo, D., Roder, M., & Papa, J. P. (2021) · 2020 25th International Conference on Pattern Recognition (ICPR)

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 20